2 papers
math.OC2025
An Axiomatic Analysis of Distributionally Robust Optimization with -Norm Ambiguity Sets for Probability Smoothing
Yoichi Izunaga, Kota Kurihara, Hokuto Nagano +1
We analyze the axiomatic properties of a class of probability estimators derived from Distributionally Robust Optimization (DRO) with -norm ambiguity sets (-DRO), a principle…
math.OC2025
A scalable mixed-integer conic optimization approach to cardinality-constrained Poisson regression with safe screening
Kota Kurihara, Yoichi Izunaga
This paper introduces a novel approach for cardinality-constrained Poisson regression to address feature selection challenges in high-dimensional count data. We formulate the probl…